Swarm: OpenAI’s Experimental Approach to Multi-Agent Systems

OpenAI's Swarm is a lightweight Python library designed to simplify the process of building and managing multi-agent systems. It focuses on educational purposes by stripping away complex abstractions, revealing fundamental concepts of multi-agent architectures. Swarm allows users to define functions and convert them into JSON schema for ease of use. The system routes user requests through agents with specific skill sets represented by tool functions, maintaining context throughout the process. Swarm's approach to control flow sets it apart from other frameworks like Crew AI and AutoGen, which provide high-level abstractions for control flow. Instrumentation and evaluation can be done using Phoenix, providing insights into message history, tool usage, and agent transitions. Overall, Swarm offers an accessible starting point for building effective multi-agent applications by focusing on essential concepts without complex abstractions.